Business AnalysisOffline data based My business analytics and provide emerging Insight.
Business info

My business store

FoodFastfoodhamburger
140, Suyeong-daero, Haeundae-gu, Busan, Republic of Korea
AM 10:00 - PM 21:00
Target info detail view >
  • Target Customer
    Female, 21 to 30 years old
  • Analyticl radius
    10km
  • Region of interest
    Busan, Dongae-gu
  • Target Category
    Fastfood
  • Customer Insights
  • Spatial Analysis
  • Emerging Insights

Status of my store

Analysis period 2019. 11. 01 - 14
  • 8% New customer visits Ratio of new visitors to under-staff customers during the period.
  • 0.2% Visit precision Ratio of people who passed by the store to visited the store.
  • 47minutes Avg/ Time spend How long will customers be staying during the period.
  • 14days Avg/ revisit period Average of next visit date of the person who visited once.

Customer demography - Gender

Customer demography - Age (Percentage)

Customer Inflow path Percentage of the route the customer enters prior to visiting store.

Customer Habitat Estimate the residence of the visiting customers and represent a percentage.

Visit rate by floor Indicates the percentage of customer visits by floor over a specific time period.

Analysis period 2019. 11. 01 - 14
floor
  • 5F
  • 4F
  • 3F
  • 2F
  • 1F
Visit customer details on 1F
Visit customer details on 1F (Age, Gender, Ratio)

Detailed data of floor Shows the trend of customer visit data for the last week for the selected floor.

  • 5F
  • 4F
  • 3F
  • 2F
  • 1F
5F 4F 3F 2F 1F
floor_1f
5FMOVIE · DINING LOUNGE 4FBABY · KIDS PARK 3FCASUAL · SPORT SHOES 2FFOOD · FAMILY RESTAURANT 1FSPORTS · OUTDOOR
Detailed data of floor
  • Next Movement floor
  • Table
  • 1F SPORTS · OUTDOOR
    27%
  • 2F FOOD · FAMILY RESTAURANT
    14%
  • 3F CASUAL · SPORT SHOES
    60%
  • 4F BABY · KIDS PARK
    9%
  • 5F MOVIE · DINING LOUNGE
    38%
1F 2F 3F 4F 5F
2F 12% 1F 22% 1F 22% 1F 22% 1F 22%
3F 50% 3F 50% 2F 12% 2F 12% 2F 12%
4F 7% 4F 7% 4F 7% 3F 50% 3F 50%
5F 31% 5F 31% 5F 31% 5F 31% 4F 7%

Most Similar Stores(TOP 3) Retrieves similar stores to mine in terms of visiting time pattern, based on given radius and category.

Analysis period 2019. 11. 01 - 14
  • NO.
    name
    distance(from my shop)
    similarity
  • 1
    Competitor A
    5.4KM
    0.76
  • 2
    Competitor B
    3.2KM
    0.42
  • 3
    Competitor C
    9.7KM
    0.38
  • visible data
  • visible data
My store - Competitor A comparative analysis

Visit frequency of Competitor stores by customers Indicates the percentage and characteristics of customers who visited my store and my competitor store. At this point,
customer attributes are classified as new ~ regular customers in my store. (type1 : New Customer, type2 : a typical customer, type3 : a regular customer)

  • Competitor A

    8.6% Visit precision Percentage of customers who visit my store at Competitor A
    Detailed data by my customer characteristics

  • Competitor B

    5.9% Visit precision Percentage of customers who visit my store at Competitor B
    Detailed data by my customer characteristics

  • Competitor C

    2.7% Visit precision Percentage of customers who visit my store at Competitor C
    Detailed data by my customer characteristics